code: def __init__(
      self,
      loss_fn: Loss,
      ignore_impossible: bool = Config.ignore_impossible,
      pos_loss_weight: float = Config.pos_loss_weight,
      has_answer_loss_weight: float = Config.has_answer_loss_weight,
      has_answer_labels: Iterable[str] = ("False", "True"),
      false_label: str = Config.false_label,
      max_answer_len: int = Config.max_answer_len,
      hard_weight: float = Config.hard_weight,
      use_zero_answer: bool = Config.use_zero_answer,
      is_kd: bool = False,
  ) -> None:
      super().__init__(loss_fn=loss_fn)
      self.pos_loss_weight = pos_loss_weight
      self.has_answer_loss_weight = has_answer_loss_weight
      self.has_answer_labels = has_answer_labels
      self.ignore_impossible = ignore_impossible
      self.max_answer_len = max_answer_len
      if not ignore_impossible:
          self.false_idx = (
              1 if has_answer_labels[1] == false_label else 0
          )
          self.true_idx = 1 - self.false_idx
      self.is_kd = is_kd
      self.hard_weight = hard_weight
      self.use_zero_answer = use_zero_answer
      log_class_usage(__class__)
  
file_path: pytext/pytext/models/output_layers/squad_output_layer.py
imports: from typing import Any, Dict, Iterable, List, Optional, Tuple, Union
  import torch
  import torch.nn.functional
  from pytext.config.component import create_loss
  from pytext.fields import FieldMeta
  from pytext.loss import BinaryFocalLoss, CrossEntropyLoss, FocalLoss, KLDivergenceCELoss, Loss
  from pytext.models.output_layers import OutputLayerBase
  from pytext.utils.usage import log_class_usage
label_desc: Use image node_id 2 to create a new SquadOutputLayer object from inherited base classes: OutputLayerBase with example: obj = SquadOutputLayer(loss_fn, ignore_impossible, pos_loss_weight, has_answer_loss_weight, has_answer_labels, false_label, max_answer_len, hard_weight, use_zero_answer, is_kd)